Agent 365 plus API Management: MCP tool governance you can actually enforce
Microsoft's Agent 365 and Azure API Management preview let you decide, in one place, which company tools your AI agents can use. Who should care, and the cost.
Category
AI
Agents that research and update records, voice agents, assistants that answer from a company's own documents, MCP servers, and how to pick between models like GPT-6 and Claude. How we build them, and where the models still fall short.
36 posts
Muse Wonder: Meta's frontier models for agents
Meta's Muse Wonder claims to pause before risky actions and remember context across sessions. What that would change for approval gates on production agents.
OpenCode 2.0 turns the open harness into a service. Here's how we'd use it to cut the token bill
Your coding agents' token bill keeps growing? What OpenCode 2.0 changes, and the config we'd commit to route routine work to cheaper open-weight models.
Cloudflare's new web search and web fetch tools for AI agents are impressive. Here's why we switched
Why our AI agents switched to Cloudflare's web search and web fetch the day after launch, and what it fixed in our fact-check.
We moved our agents' web reading into TechFabric Harness. Here's what we deleted, and what it caught
If your AI agents read web pages, a link somebody else chose can reach your internal network. What that hole looks like, how to close it, and what's still open.
Programmatic SEO with AI agents, the white-hat way
How to scale content with AI after Google's September 2026 spam update without doorway pages or scaled content abuse, and what kept our city pages indexed.
Microsoft Execution Containers: contain your AI agents
MXC is Microsoft's policy-driven sandbox for AI agents, now GA. What it enforces, the JSON policy, the three modes, and where it stops short.
AI decision models compared: Jev, Clef, Kev, Microsoft
Which AI model should make your software's quick calls, like routing a ticket or approving a draft? Jev, Clef, Kev and Microsoft-Decision-1 compared.
SkillFS: governing agent skills with a file system
SkillFS is a FUSE file system that controls which agent skills are visible, which are trusted and what happens when one goes bad.
Replit on Databricks: governed apps with Lakebase Postgres
Replit Agent now builds apps on live Databricks data and deploys them as Databricks Apps with an auto-provisioned Lakebase Postgres database.
Supermemory is where we'd keep what an AI agent learns about a user, not the facts a business owns
How TechFabric would use Supermemory for agent memory on client work. Which memories belong in it, what decides the bill, and the defaults we'd change.
Databricks bought Row Zero: spreadsheets on live data
What the Row Zero acquisition means for finance teams living on exports from Business Central and a CRM, and what is announced but not yet shipped.
Clef, Clef-flash or Clef-omni? We run all three, and the cheapest one only ever screens
Which of Cloudflare's three Clef decision models should make a call your software repeats all day, and how we'd build a manufacturer's warranty-claim review.
Databricks Lakebase: managed Postgres next to your lakehouse
What Databricks Lakebase is, how branching, point-in-time restore and synced tables work, who uses it, and when to keep your existing Postgres.
BC29 retained DEV extensions: VS Code apps survive updates
Business Central 2026 wave 2 keeps DEV extensions installed through an environment update. What changes for sandboxes, UAT and your release process.
Lakebase database branching: a database per coding agent
Databricks Lakebase branches a Postgres database in under a second. Here is how that gives every coding agent and every PR its own isolated database.
Voice agents on Databricks for auto refinance
How a compliant outbound voice agent for auto refinance is built on Databricks. Consent gating, feature lookups, the agent runtime and what to measure.
GPT-6: choosing Astra, Sol or Luna and setting effort
How the GPT-6 family splits by cost and reasoning effort, the API rules that changed, what it costs per million tokens, and how to run it on Databricks.
Meta's ads MCP server on Databricks: what it changes
Meta's ads MCP server is in Databricks Marketplace. What it lets an agent do, how Unity Gateway and Meta rules fence it, and where it does not fit.
Business Central MCP server: query data with no API page
Business Central agents could only read a few standard tables without custom development. Version 29.0 lets them query the rest. How it works, where it stops.
Unity Catalog for AI agents in practice: four FHIR scenarios
Agent identity decides what your row filters do. Four scenarios from a FHIR lakehouse on Databricks, with the performance tradeoffs of each.
Decision models in auto refinance: where Jev and Clef fit
Lenders kick back refinance packages over a mismatched odometer or an expired payoff. Where decision models like Jev and Clef catch it, logged on Databricks.
An AI governance framework is four answers you can query
The EU moved its high-risk AI deadline to December 2027. What NIST AI RMF, ISO 42001 and the EU AI Act ask, mapped to controls you can run on Databricks.
Paying frontier prices to rename a variable
Databricks' smart routing sends routine coding-agent work to cheaper models and keeps the agents' traces in Unity Catalog. What it saves, and what to check.
Finance said ninety days. Operations said open account.
Genie fails when two teams mean different things by the same word. Genie Accuracy hardens the semantic layer. TechFabric Experiments keeps the suite running.
Nobody could tell whether the agent was any good
A team shipped an agent in nine days and argued for two months about whether its answers were right. Write down what a good answer is first.
Driving Real-World Value with Intelligent Business Intelligence, BI in the era of AI
What Databricks AI/BI is: dashboards plus Genie, which answers plain-English questions with SQL. What changed in 2026, accuracy, and cost.
From Data Warehouses to Data Intelligence: Why Your Next Platform Choice Will Define the Next Decade
How data platforms went from warehouses to lakehouses to data intelligence, and the four platform decisions that are hard to undo later.
Rethink AI: Building a Horizontal Layer for Enterprise-Wide Transformation
Horizontal AI versus vertical AI. Why businesses need a shared AI layer across their systems, what goes in it, and when a single-app copilot still wins.
Introducing Azure AI Foundry: A CTO's Guide to Starting and Scaling AI
Azure AI Foundry is now Microsoft Foundry. What it is, how it relates to Azure, and the day-one decisions a CTO makes on projects, data location and cost.
AI at Scale: Managing Cloud Multi-Tenant AI Infrastructure with Temporal
Some tenants want a cheap shared setup, others an isolated one. How we keep LLM costs, vendor swaps and per-tenant deployments manageable with Temporal.
Durable RAG with Temporal and Chainlit
When one question to an AI assistant sets off several tool calls, any can fail halfway. How we made a Chainlit RAG chatbot durable with Temporal, with the code.
How We Created A Multi-Tenant, Multi-Cloud, & Multi-Model AI Platform with Temporal, Fiber Copilot
How we designed Fiber Copilot to stand up chatbots and copilots on your own data, in your own cloud, with the parser, vector store and model you choose.
What Every CTO Needs To Know About Databricks
What Databricks is, what changed between 2024 and 2026, how the bill works and how to read it, and the governance and lock-in questions to settle first.
Breaking Down Silos: Integrating AI Across Business Functions
The AI worth building usually needs two departments' data. How Amazon and KLM joined theirs to cut waste, and how to find the same opportunity in your company.
Mastering the Art of Prompt Engineering for Generative AI
A prompt can follow every rule and still get a confident, wrong answer from generative AI. One real prompt taken apart, fixed and tested before users see it.